Smartsheet

Builds work management software for teams

AI ML Ops Software Engineer - Bangalore Hybrid

Applied Machine LearningConfirmed live in the last 24 hours

Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

At least 4 years of AI/ML Ops experience, with a stated range of 4–6 years.
Experience with enterprise SaaS software solutions requiring high availability and scalability.
Experience handling large-scale structured and unstructured data from varied sources.
Experience building and maintaining scalable, reliable, efficient, and secure AI/ML Ops platform systems.
In-depth experience with AI/ML frameworks and tools involving large petabyte-scale data in the Databricks Lakehouse ecosystem.
Experience with AI/MLOps workflows on Databricks, MLflow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, and Knowledge Graph.
Knowledge of AI/ML frameworks such as LangChain and LangGraph for AI/ML Ops pipeline integration.
Hands-on experience with at least one major cloud provider: AWS, Azure, or GCP.
Experience with programming languages such as Python and SQL.
Experience with Kubernetes, CI/CD, infrastructure-as-code tools, observability, monitoring, and alerting.
Experience with solution cost optimization and cost-conscious design.
Legally eligible to work in India on an ongoing basis.

Responsibilities

Design, develop, and maintain stable and reliable AI/ML Ops platforms and pipelines.
Package and deploy AI/ML services to production, ensuring reproducibility and interpretability.
Design and implement automated continuous integration and continuous deployment pipelines to accelerate model deployment.
Provision and optimize infrastructure for training and serving using Docker, Kubernetes, or serverless platforms.
Implement post-deployment monitoring for model performance, data drift, and latency.
Automate retraining and data-pipeline workflows to keep models accurate over time.
Manage deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation stacks, including vector databases and knowledge graphs.
Manage GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference for users.
Work with data scientists, data engineers, and software engineers to connect model development with production.
Manage versioning for data, code, and models using tools such as MLflow.
Implement data security measures, comply with data-governance policies, and protect sensitive data.
Evaluate emerging data technologies and identify opportunities to improve the organization’s data infrastructure.
Diagnose and resolve complex data-related issues to ensure data-platform stability and reliability.
Perform other duties as assigned.

Desired Qualifications

Experience with Monte Carlo.
Experience with AWS Bedrock.
Experience with an AWS-hosted data platform.
Experience with Terraform.

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day.

Job Description/ Responsibilities:

Designing, developing and maintaining stable and reliable AI/ML Ops platforms / pipelines
Minimum experience of 4-6 Years required in AI ML Ops
Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable
CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools
Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms
Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable
Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time.
Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with AWS Bedrock is preferable
Resource Optimization: Manage GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference for users
Collaboration: Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production.
Version Control & Governance: Manage versioning for data, code, and models using tools like MLflow.
Security & Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data
Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure
Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform
Perform other duties as assigned

Required Skills:

Enterprise SaaS software solutions with high availability and scalability
Solution handling large scale structured and unstructured data from varied data sources
Experience in building and maintaining AI/ML Ops platform systems ensuring scalability, reliability, efficiency and security
In depth experience in AI/ML Frameworks and tools involving large Petabytes of data with Databricks Lakehouse ecosystem
AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration
Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
Programming languages like Python and SQL
Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
Solution Cost Optimisations and design to cost
Legally eligible to work in India on an ongoing basis

Get to Know Us:

At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.

Equal Opportunity Employer:

Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.

#LI-Remote

Requirements at a Glance

Experience Level: Mid, Senior

Benefits

Health and wellness benefits - From sick days to mental health services, we support you. We provide company-sponsored comprehensive healthcare coverage and well-being benefit programs so you can take care of your whole self.
Time away - We want you to find time for what matters to you. We offer a variety of programs so you can recharge and reconnect, including paid time off for company holidays, vacation, volunteering, military leave, and parental bonding.
An investment in your future - We help you plan for the dreams you're working toward. We offer every employee competitive pay, retirement contributions, stock awards, and an employee stock purchase program.
Perks and discounts - It's the details that make life easier. From discount programs and an allowance for work-related expenses, to medical concierge (U.S. only) and caregiver services, we help set you up for success both at work and outside of it.
An inclusive environment - We strive to foster a culture of belonging that is rooted in respect for all people. We believe that by celebrating diversity of voices and experiences, and by creating equitable opportunities for our team, customers, and communities, we enable people to do and be their best.
Continuous learning - We know that when you're growing, so are we. That's why we provide opportunities to develop on the job through internal mobility, virtual learning, and a variety of development programs.

About the Company

Smartsheet

Builds work management software for teams

Smartsheet builds cloud software for teams that plan projects, coordinate operations, and track work across an organization. Its spreadsheet-style workspaces combine task records with reports and dashboards, while teams switch between table, board, calendar, and project timeline views. Users collect information through forms, set rules for reminders and approvals, and connect their work to tools such as Microsoft Office, Google Workspace, and Slack without building a separate application. The company sells subscriptions with paid member seats and enterprise plans, plus optional products for more complex workflows. Smartsheet was founded in 2005 and is headquartered in Bellevue, Washington, United States.

Company size: 1,001-5,000
Company stage: IPO
Headquarters: Bellevue, WA
Founded: 2005

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